Welcome to the Applied Machine Learning Research Lab
Mission:
The Applied Machine Learning Research Lab (DAMLR) envisions a synergistic collaboration with industrial partners and research institutes to advance the frontiers of theoretical machine learning and AI research. Focused on pivotal areas such as data representation learning, AI safety, generative AI, and explainable AI, the lab aims to foster innovation through a multidisciplinary approach. By uniting the practical insights of industry with the pioneering theories of academia, the lab seeks to develop robust frameworks and methodologies that push the boundaries of what AI can achieve. Our lab’s mission is to ensure that advancements in AI are not only cutting-edge but also safe, interpretable, and beneficial across various applications.
Would love to collaborate with us? please visit Partners tag.
Research Areas:
Machine Learning and Large-scale Data Analysis, Artificial Intelligence (AI), Information Retrieval, Social Media, Recommender Systems, Sequential Forcasting Systems, Auto-pilot System, and other Large-scale ML Applications.
Hiring:
Our lab has one PhD student openings currently. The positions are full-funded. If you are students with 1) CS background, 2) GPA>3.8, and 3) a Master degree, please email Dr. Wu with your CV and research proposal. Please go to the Prospective Student tab for the further hiring requirements.
News:
- Granted access to private computation node of Digital Research Alliance of Canada, 2024/05/30
- Project received Mitacs Accelerate program support, Mitacs & UpBeing, 2023/10/20
- Project Proposal Selected by Mitacs Globalink Research program, Mitacs, 2023/08/01
- Success in NSERC Discovery Grant Competition, NSERC, 2023/07/01
- Received Faculty Research Startup Fund, Dalhousie University, 2023/01/01